dependent variable=         MINELIG 

===============================================================================
                     ** A Beta Model, Numerical Solution **                    
===============================================================================
 CML Version 1.0.0                                         9/04/2001   6:45 pm
===============================================================================

return code =    0
normal convergence

Mean log-likelihood        0.364688
Number of cases     182

Covariance of the parameters computed by the following method:
Inverse of computed Hessian

Parameters    Estimates     Std. err.  Est./s.e.  Prob.    Gradient
------------------------------------------------------------------
const           -4.9451        0.6581   -7.515   0.0000      0.0000
EFFICNCY         2.1454        2.9269    0.733   0.2318      0.0000
RESPMIN          0.1381        0.0153    9.010   0.0000      0.0000
HARDSHIP         2.6676        0.8541    3.123   0.0009      0.0000
MINORITY         0.0837        0.2069    0.405   0.3428      0.0000
const            1.0256        0.0963   10.655   0.0000      0.0000

Correlation matrix of the parameters
   1.000  -0.541  -0.761  -0.560   0.272  -0.263
  -0.541   1.000   0.199   0.048   0.087   0.041
  -0.761   0.199   1.000   0.068  -0.339   0.314
  -0.560   0.048   0.068   1.000  -0.275   0.100
   0.272   0.087  -0.339  -0.275   1.000   0.001
  -0.263   0.041   0.314   0.100   0.001   1.000

Number of iterations    5
Minutes to convergence     0.01057

        EFFICNCY 
         RESPMIN 
        HARDSHIP 
        MINORITY 
     0.027767549      0.062310175 
      0.38039700       0.79317767 
      0.12026913       0.40948611 
     0.017179174      0.020250492 

        EFFICNCY 
         RESPMIN 
        HARDSHIP 
        MINORITY 
   -0.0012133849     0.0017510815    -0.0029223694     0.0040269546 
    -0.014285112     0.0031285965      0.012924177     0.0034481494 
   -0.0053089621     0.0020753352    -0.0091905850     0.0034896828 
  -0.00081733318     0.0019542631    -0.0013585038     0.0026367736 
alpha= 1.62988 
beta= 1.15880 
ave mean= 0.58446 
ave var= 0.06410 
Valid cases:                   182      Dependent variable:                   Y
Missing cases:                   0      Deletion method:                   None
Total SS:                   12.074      Degrees of freedom:                 177
R-squared:                   0.443      Rbar-squared:                     0.430
Residual SS:                 6.725      Std error of est:                 0.195
F(4,177):                   35.190      Probability of F:                 0.000

                         Standard                 Prob   Standardized  Cor with
Variable     Estimate      Error      t-value     >|t|     Estimate    Dep Var
-------------------------------------------------------------------------------
CONSTANT    -0.386346    0.117736   -3.281468     0.001       ---         ---  
X1          -0.097197    0.557904   -0.174218     0.862   -0.010030   -0.149899
X2           0.027102    0.002626   10.320449     0.000    0.625684    0.640529
X3           0.482599    0.162845    2.963549     0.003    0.174253    0.203220
X4           0.011434    0.038301    0.298538     0.766    0.018704    0.282979

-0.00518 
 0.32319 
 0.09001 
 0.00966 
Valid cases:                   182      Dependent variable:                   Y
Missing cases:                   0      Deletion method:                   None
Total SS:                 1335.723      Degrees of freedom:                 177
R-squared:                   0.315      Rbar-squared:                     0.300
Residual SS:               914.871      Std error of est:                 2.273
F(4,177):                   20.356      Probability of F:                 0.000

                         Standard                 Prob   Standardized  Cor with
Variable     Estimate      Error      t-value     >|t|     Estimate    Dep Var
-------------------------------------------------------------------------------
CONSTANT    -8.411861    1.373198   -6.125743     0.000       ---         ---  
X1           2.710760    6.507055    0.416588     0.677    0.026595   -0.094277
X2           0.233033    0.030629    7.608233     0.000    0.511476    0.529788
X3           4.788447    1.899327    2.521129     0.013    0.164379    0.197478
X4           0.337343    0.446721    0.755152     0.451    0.052465    0.269641

 0.03311 
 0.56806 
 0.20216 
 0.06525 
extreme vals of y,Ey_beta,Ey_OLS,Ey_lnOLS
 0.00010  0.99990 
 0.06899  0.90941 
 0.03990  0.95907 
 0.01263  0.98308 
 percentage of OLS and lnOLS falling outside of [0,1]
 0.00000 
 0.00000 
 0.00000 
 0.00000 
Beta is better if rb/ro<1 1.00077 
beta mse= 0.03698 
ols mse= 0.03695 
Beta is better than logit trans if rb/ro<1 0.82146 

 0.01010  0.34942  0.42036  0.25941 
 0.01010  0.85694  0.87819  0.95229 
 0.88992  0.88915  0.92243  0.97572 
 0.40002  0.62866  0.63806  0.71025 
 0.08008  0.60431  0.61572  0.71069 
 0.50000  0.46822  0.48916  0.42813 
 0.69996  0.76197  0.76392  0.87718 
 0.91992  0.85020  0.89270  0.95046 
 0.99990  0.89528  0.94368  0.97877 
 0.72995  0.23053  0.30416  0.11684 
 0.84993  0.75605  0.75011  0.89327 
 0.94991  0.83184  0.84107  0.94880 
 0.20006  0.24806  0.28487  0.12391 
 0.40002  0.35180  0.40497  0.25149 
 0.77994  0.67675  0.67066  0.81453 
 0.89992  0.52713  0.53245  0.54365 
 0.50000  0.34139  0.38543  0.24229 
 0.79994  0.68953  0.68930  0.79723 
 0.36003  0.50963  0.52674  0.51144 
 0.30004  0.16327  0.18412  0.05663 
 0.57998  0.48166  0.50164  0.45846 
 0.77994  0.68458  0.68179  0.77910 
 0.50000  0.46782  0.50767  0.42854 
 0.59998  0.38440  0.41638  0.30319 
 0.00010  0.32684  0.38269  0.21826 
 0.69996  0.57982  0.57105  0.63602 
 0.99990  0.90941  0.94847  0.98308 
 0.83993  0.81203  0.80147  0.92306 
 0.75995  0.65333  0.66019  0.75311 
 0.74995  0.72888  0.69587  0.86318 
 0.50000  0.57508  0.58786  0.61585 
 0.50000  0.42072  0.47374  0.35676 
 0.91992  0.78884  0.75690  0.91503 
 0.91992  0.70358  0.67486  0.82672 
 0.79994  0.60581  0.60054  0.65391 
 0.30004  0.59451  0.60234  0.64922 
 0.66997  0.65037  0.63410  0.76716 
 0.65997  0.34729  0.38743  0.24611 
 0.59998  0.66181  0.65245  0.75928 
 0.79994  0.76472  0.75114  0.89774 
 0.50000  0.44215  0.47833  0.40143 
 0.69996  0.51864  0.53751  0.52021 
 0.54999  0.43134  0.47462  0.37565 
 0.50000  0.36515  0.41759  0.26869 
 0.74995  0.58795  0.56770  0.61240 
 0.66997  0.60606  0.60619  0.66610 
 0.74995  0.64941  0.63432  0.72541 
 0.79994  0.67524  0.68374  0.76963 
 0.99990  0.89073  0.91566  0.97587 
 0.02010  0.39647  0.43890  0.31238 
 0.82993  0.75432  0.71718  0.88637 
 0.40002  0.35061  0.39917  0.24760 
 0.33003  0.36165  0.40303  0.26183 
 0.74995  0.63789  0.64579  0.75499 
 0.64997  0.55141  0.58015  0.57981 
 0.50000  0.36612  0.41774  0.26215 
 0.33003  0.51589  0.55008  0.52381 
 0.67996  0.57738  0.59380  0.61282 
 0.00010  0.20765  0.25021  0.08530 
 0.69996  0.59313  0.59371  0.63823 
 0.89992  0.80507  0.79175  0.92931 
 0.33003  0.23324  0.29173  0.11198 
 0.66997  0.65570  0.64480  0.74530 
 0.68996  0.64716  0.62519  0.77056 
 0.59998  0.56047  0.56223  0.61510 
 0.88992  0.82530  0.82189  0.93185 
 0.66997  0.58109  0.57685  0.64081 
 0.87992  0.81489  0.81299  0.93782 
 0.54999  0.48884  0.51776  0.49750 
 0.57998  0.78426  0.77624  0.91565 
 0.39002  0.57534  0.59351  0.62862 
 0.77994  0.78855  0.80277  0.90088 
 0.40002  0.36990  0.43760  0.33382 
 0.58998  0.36298  0.41165  0.27121 
 0.82993  0.79883  0.81800  0.92720 
 0.64997  0.63595  0.64586  0.71871 
 0.74995  0.63305  0.64959  0.75500 
 0.87992  0.82741  0.80628  0.94239 
 0.79994  0.83562  0.82173  0.94840 
 0.17007  0.66041  0.64100  0.74529 
 0.45001  0.41577  0.45338  0.34403 
 0.00010  0.13072  0.14730  0.03854 
 0.93991  0.89727  0.94271  0.97932 
 0.40002  0.48962  0.51226  0.47555 
 0.20006  0.14430  0.16371  0.05391 
 0.40002  0.44318  0.47848  0.39339 
 0.38002  0.30859  0.36807  0.20006 
 0.88992  0.78052  0.77439  0.91137 
 0.36003  0.59868  0.57423  0.64408 
 0.78994  0.56701  0.59821  0.66520 
 0.99990  0.69589  0.68825  0.82969 
 0.59998  0.36917  0.41648  0.28077 
 0.50000  0.46171  0.48716  0.42307 
 0.74995  0.67445  0.65942  0.76563 
 0.64997  0.59451  0.60234  0.64922 
 0.74995  0.66484  0.68553  0.76595 
 0.50000  0.46835  0.49198  0.43480 
 0.67996  0.49288  0.54215  0.54146 
 0.50000  0.62009  0.59748  0.67943 
 0.53999  0.52687  0.52679  0.53014 
 0.33003  0.30648  0.35930  0.19777 
 0.99990  0.83847  0.84492  0.95232 
 0.33003  0.43315  0.46474  0.38656 
 0.79994  0.66472  0.68271  0.76104 
 0.17007  0.23681  0.30891  0.14338 
 0.41002  0.28886  0.34921  0.15734 
 0.58998  0.59942  0.59572  0.64300 
 0.08008  0.37528  0.41848  0.28498 
 0.20006  0.47315  0.53369  0.45573 
 0.69996  0.62610  0.62364  0.69590 
 0.59998  0.50937  0.52109  0.49786 
 0.73995  0.59451  0.60234  0.64922 
 0.77994  0.56058  0.56958  0.58133 
 0.06009  0.22474  0.28788  0.10474 
 0.94991  0.79638  0.80380  0.90507 
 0.69996  0.55955  0.56944  0.58948 
 0.79994  0.70487  0.71366  0.81251 
 0.71996  0.61117  0.60522  0.67210 
 0.89992  0.80233  0.82022  0.91248 
 0.79994  0.58273  0.59566  0.62562 
 0.77994  0.57904  0.58109  0.61734 
 0.85993  0.72564  0.73000  0.84082 
 0.22006  0.55440  0.54625  0.56923 
 0.87992  0.69097  0.70810  0.78644 
 0.77994  0.57598  0.58482  0.66053 
 0.99990  0.69633  0.67293  0.79487 
 0.88992  0.64426  0.65663  0.72576 
 0.29004  0.17351  0.21131  0.06366 
 0.18006  0.47878  0.51138  0.45531 
 0.38002  0.23436  0.30318  0.11967 
 0.73995  0.57904  0.58109  0.61734 
 0.50000  0.47356  0.51518  0.45532 
 0.47001  0.40995  0.43569  0.34511 
 0.64997  0.63534  0.65872  0.70794 
 0.79994  0.68931  0.68365  0.78830 
 0.80994  0.75051  0.72416  0.86140 
 0.52000  0.52111  0.54628  0.52380 
 0.48000  0.55195  0.53748  0.56569 
 0.27005  0.30392  0.36621  0.19152 
 0.48000  0.56469  0.59263  0.60943 
 0.37003  0.55024  0.57718  0.58136 
 0.69996  0.64438  0.65946  0.73113 
 0.27005  0.06899  0.03990  0.01263 
 0.59998  0.55011  0.57435  0.57474 
 0.67996  0.72231  0.70659  0.85840 
 0.59998  0.51458  0.54428  0.51863 
 0.91992  0.62891  0.61673  0.70428 
 0.70996  0.65534  0.66331  0.74561 
 0.99990  0.83831  0.86663  0.94097 
 0.82993  0.80009  0.81130  0.91400 
 0.41002  0.29548  0.32831  0.17874 
 0.56999  0.44215  0.47833  0.40143 
 0.82993  0.66741  0.64880  0.75308 
 0.43001  0.46965  0.49778  0.43991 
 0.67996  0.74239  0.72611  0.85480 
 0.74995  0.79901  0.79666  0.92523 
 0.67996  0.46938  0.51912  0.44703 
 0.21006  0.12552  0.12494  0.03580 
 0.70996  0.71724  0.71060  0.82939 
 0.69996  0.65794  0.65357  0.74802 
 0.99990  0.71191  0.68161  0.81418 
 0.99990  0.89429  0.95907  0.97962 
 0.53999  0.51499  0.52577  0.51821 
 0.42002  0.58566  0.58874  0.63491 
 0.78994  0.79305  0.81042  0.90738 
 0.53999  0.52648  0.54494  0.59310 
 0.50000  0.44061  0.46688  0.38352 
 0.71996  0.76764  0.71321  0.88172 
 0.82993  0.82188  0.83819  0.94361 
 0.71996  0.49003  0.49375  0.47513 
 0.81994  0.67342  0.65645  0.76677 
 0.33003  0.68718  0.67487  0.78589 
 0.27005  0.69633  0.67293  0.79487 
 0.38002  0.63850  0.63329  0.71578 
 0.19006  0.46808  0.51332  0.44190 
 0.50000  0.77365  0.73930  0.90661 
 0.33003  0.56368  0.56549  0.59756 
 0.25005  0.77144  0.74340  0.90077 
 0.00010  0.77629  0.75387  0.90954 
 0.10008  0.46301  0.49296  0.42815 
 0.24005  0.43226  0.44042  0.38125 
 0.47001  0.79808  0.81503  0.92763 
